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IRAFCA: an O(n) information retrieval algorithm based on formal concept analysis

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Abstract

With the exponential increase in the quantity of information circulating on the Internet, an evolution of information-retrieval systems becomes paramount. Indeed, current approaches for information systems design remain unable to meet the needs of users, either in performance (precision and recall) or response time. In this paper, we propose a new information-retrieval algorithm based on formal concept analysis. The proposed algorithm deals with disjunctive and conjunctive queries. In fact, information retrieval is a direct application of the formal concept analysis (FCA). This makes the adaptation of this theory to this field an easy and intuitive task. In this context, we exploited the theoretical basis provided by the FCA to design an efficient and flexible approach for information retrieval.

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Notes

  1. http://sourceforge.net/projects/conexp/.

  2. http://archive.ics.uci.edu/ml/datasets/Connect-4.

  3. http://www.fca.radvansky.net/downloads.php?cat_id=2.

  4. http://ir.dcs.gla.ac.uk/resources/test_collections/medl/.

  5. http://www.ims.uni-stuttgart.de/projekte/corplex/TreeTagger/.

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  1. MARS Research Unit, Faculty of sciences of Monastir, University of Monastir, Monastir, Tunisia

    Fethi Fkih & Mohamed Nazih Omri

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  1. Fethi Fkih
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  2. Mohamed Nazih Omri
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Correspondence to Fethi Fkih.

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Fkih, F., Omri, M.N. IRAFCA: an O(n) information retrieval algorithm based on formal concept analysis. Knowl Inf Syst 48, 465–491 (2016). https://doi.org/10.1007/s10115-015-0876-x

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